Pokee AI
Pokee AI runs enterprise AI agents on a 10M-token model inside your own VPC, on-prem hardware, or an air-gapped network.
Pick Pokee when residency or air-gap is a procurement requirement and the work is document-heavy. The 10M-token window, the 94.0% RULER at 10M figure and the 87.7% FinanceBench result are vendor-measured numbers on a v0.1 preview model, so test them against your own corpus before committing. SOC 2 Type 2 is reported complete while ISO/IEC 27001 and 42001 audits are still in progress — if a certificate is a gating item, that timing matters. Cognigy and Moveworks are the honest comparisons, and neither sells on shipping agents into an air-gapped network.
Verified 20h ago · liveness 76/100 · cite: rightaichoice.com/tools/pokee-ai
- Regulated enterprises that need agents running inside their own cloud, on-prem or air-gapped network
- Finance teams running due diligence, onboarding and risk scoring against whole document sets
- Law firms holding entire case archives inside a single long context window
- Manufacturing teams wiring live ERP and MES reads into dashboards and CAPA reports
- Individuals shopping for a cheap general-purpose AI chat assistant
- Teams that want a no-code drag-and-drop workflow builder with minimal setup
- Buyers with no residency, compliance or air-gap requirement driving the purchase
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Skip Pokee AI if your agents can run on vendor-hosted infrastructure without a residency or air-gap requirement, or if you want a finished ISO/IEC 27001 certificate rather than one still in audit.
Credits are metered per run, so a workflow that loops over a large document set burns through a Lite plan's 2,000 monthly credits faster than the sticker price suggests
The published tiers are individual-to-small-team sized: Free at $0/mo for 500 credits, Lite at $19.99/mo monthly (30% off yearly), Pro at $49.99/mo monthly, Ultra at $199.99/mo monthly. Enterprise is a tailored quote with pooled capacity, SSO and dedicated support. Against Cognigy and Moveworks, which sell enterprise conversation platforms, Pokee's self-serve floor is far lower — but heavy document work will push you toward Ultra or a quote.
In short
Pokee AI — Pokee AI runs enterprise AI agents on a 10M-token model inside your own VPC, on-prem hardware, or an air-gapped network. Best for Regulated enterprises that need agents running inside their own cloud, on-prem or air-gapped network, Finance teams running due diligence, onboarding and risk scoring against whole document sets, Law firms holding entire case archives inside a single long context window. Free to start; paid plans from $19.99/mo.
What's new in Pokee AI
Checked 7 days agoAcross the latest 4 updates: 4 news mentions.
Pokee AI Weekly: Tesla, Sunrun, Renew Home Build 16 GW Virtual Power Plant for AI Data Centers
Pokee's weekly newsletter covers Tesla, Sunrun and Renew Home aggregating home batteries and thermostats into a 16 GW virtual power plant aimed at AI data center demand.
Pokee AI Weekly: US AI Kill Switch Hits Anthropic Subscribers
Pokee's newsletter reports an export control directive shut down Fable 5 globally for six of its thirteen free days, leaving paying subscribers to absorb the cost.
Pokee AI Weekly: Transformer Co-Inventor Shazeer Joins OpenAI
Pokee's newsletter reports Noam Shazeer left Google DeepMind on June 18 for OpenAI's Lead for Architecture Research role, under two years after Google's $2.7B retention deal.
Pokee AI Weekly: Sakana AI Ships Fugu Orchestration Model
Pokee's newsletter covers Sakana AI launching Fugu and Fugu Ultra, models that coordinate GPT-5.5, Gemini and Opus to target frontier performance while Anthropic's top model is offline.
What people actually say about Pokee AI — is it worth it?
We scanned public community sources for Pokee AI on Jul 5, 2026 and could not establish that the discussion we found is about this tool rather than something else sharing its name. Our own analysis of that scan says the posts were off-subject. Rather than publish a sentiment score built on the wrong subject, we publish nothing here and re-run the scan.
Viability Score
How well maintained and how widely used is Pokee AI? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: October 2026
How we score →Key Features
- Pokee-Isaac 28B-parameter long-context core model (v0.1 preview)
- 10M maximum context, 94.0% RULER at 10M measured by Pokee
- 137K prefill tok/s and 335 tok/s decode on a single B200
- Plan, act, verify, cite reinforcement-learned tool-use harness
- PokeeResearch agentic reasoning model for research and open-web tasks
- Deploy to Pokee-managed tenant, your VPC, on-prem, air-gapped or on-device
- Air-gapped deployment with no egress and an offline update path (on request)
- Revocable least-privilege role for AWS, Azure or GCP VPC deployments
- One-click OAuth to 90+ integrations covering 1000s of tools — no API keys or webhooks
- RL-trained across 9 enterprise verticals including finance, healthcare and law
- 87.7% FinanceBench oracle accuracy for due diligence and risk scoring
- 8-hour promo performance reports compressed to 30 minutes
- Amazon research cut from one week to one hour
- ERP and MES read live for manufacturing dashboards, 8D and CAPA reports
- Credit top-ups anytime without a plan change
About Pokee AI
Pokee AI is an agent platform for teams whose data cannot leave infrastructure they control. You choose the boundary: a Pokee-managed tenant pinned to your region, your own AWS, Azure or GCP account reached through a least-privilege role you can revoke, your on-prem hardware, an on-device runtime on managed workstations, or a fully air-gapped install with no egress and an offline update path (on request). The vendor's stated path from a 30-minute call to live in your cloud is under two weeks, following a pilot on 2-3 of your real workflows. The engine is Pokee-Isaac 28B, which Pokee measures at 10M maximum context, 94.0% RULER at 10M, 137K prefill tok/s and 335 tok/s decode on a single B200. Pokee labels Pokee-Isaac 28B v0.1 (preview) and all figures come from a controlled evaluation environment, so treat them as vendor-measured. On top sits a reinforcement-learned tool-use harness that plans, acts, verifies and cites, trained across nine enterprise verticals. A second model, PokeeResearch, handles agentic reasoning and open-web research. Connections run through one-click OAuth to 90+ integrations covering thousands of tools — Gmail, Drive, Sheets, Slack, GitHub, Notion and Jira among them — with no API keys or webhook plumbing. A credit system prices usage: Free at $0/mo for 500 credits, Lite at $19.99/mo monthly (30% off on yearly billing) for 2,000 credits, Pro at $49.99/mo monthly (30% off yearly) for 5,000-6,000 credits, Ultra at $199.99/mo monthly (30% off yearly) for 20,000-40,000 credits, and a custom Enterprise tier with pooled team capacity, SSO and dedicated support. The vertical results are the pitch. Finance teams get 87.7% FinanceBench oracle accuracy on due diligence and risk scoring. E-commerce compresses 8-hour promo reports to 30 minutes and Amazon research from a week to an hour. Legal holds whole case archives in one window. The vendor reports SOC 2 Type 2 complete, with ISO/IEC 27001 and ISO/IEC 42001 audits in progress. Against Cognigy and Moveworks, the split is residency and context length, not conversational breadth.
Behind the Verdict
Pokee AI sells one thing clearly: the same agents and integrations regardless of where they run. The deployment ladder on the site — Pokee-managed tenant, your VPC via a revocable least-privilege role, on-prem, air-gapped, on-device — is the product, and it is why a bank, a hospital or a defense-adjacent manufacturer would look at this rather than a general-purpose agent tool. Air-gapped and on-prem are listed as on request, so plan for a sales process and a change-control review, not a credit-card signup. The technical bet is context length plus a trained tool-use loop. Pokee-Isaac 28B is quoted at 10M maximum context, 94.0% RULER at 10M, 137K prefill tok/s and 335 tok/s decode on a single B200. That combination, if it holds on your data, is what makes a legal matter archive or a multi-year filing set fit in one session instead of a retrieval pipeline you have to build. The harness — plan, act, verify, cite — is reinforcement-trained across nine verticals, and Pokee says it holds five provisional patents on long-context model design and RL-based tool planning. The honest caveat is printed on the same page: Pokee-Isaac 28B is v0.1 (preview) and the metrics were measured by Pokee under a controlled evaluation environment. The vertical claims are specific enough to falsify in a pilot, which is the right test. 87.7% FinanceBench oracle accuracy on due diligence and risk scoring; 8-hour promo reports to 30 minutes; Amazon research from a week to an hour; ERP and MES read live for dashboards, 8D and CAPA reports. A Lenovo executive quoted on the site describes an agent that scraped a multi-layer site behind an email login wall and filled a web database in 20 minutes versus two hours of manual work — a concrete anecdote, not a benchmark. Where it is weak: the credits model is metered and the tiers are not generous in absolute terms (2,000 credits on Lite at $19.99/mo monthly), so heavy multi-workflow teams will either top up or move to Ultra at $199.99/mo monthly (30% off yearly) or Enterprise. Deeper deployment modes are on request. The security posture is mid-flight — SOC 2 Type 2 complete, ISO/IEC 27001 and ISO/IEC 42001 audits in progress — so a buyer whose questionnaire demands a finished 27001 certificate today should schedule around that. And if what you actually want is a no-code drag-and-drop workflow canvas, this is a heavier platform than you need. Where it fits: regulated enterprises with document-heavy work and a residency mandate, finance and legal teams that want whole corpora in one context window, and manufacturing or healthcare groups that need agents reading live plant or clinical systems inside the perimeter. Pokee raised a $12M seed led by Point72 Ventures with Qualcomm Ventures and Samsung NEXT, so it is a funded startup, not a decade-old vendor — weight your procurement risk accordingly.
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Real-world workflow fit
Concrete scenarios for the personas Pokee AI actually fits — and what changes day-one when you adopt it.
You point Pokee at SEC, EDGAR and EDINET filings sitting in your own AWS account, connected through a least-privilege role your security team can revoke, and run due diligence and risk scoring as an agent workflow.
Outcome: Counterparty risk scoring runs against whole filing sets in one session rather than a chunked retrieval pipeline, with vendor-measured 87.7% FinanceBench oracle accuracy as the benchmark you test against your own corpus.
You connect Google Analytics, Amazon and Walmart plus your Sheets reporting templates over one-click OAuth, then let the agent assemble the weekly promo performance report from those sources.
Outcome: A report that took 8 hours of manual pulls finishes as a 30-minute agent run, and Amazon research that took a week collapses to about an hour.
You load years of filings and correspondence into a single 10M-token session and ask matter-level questions across the whole archive instead of searching folder by folder.
Outcome: The entire case archive stays in one context window, so cross-document research happens in a single pass inside infrastructure your firm controls.
Use Cases
- Score counterparty risk and run due diligence against SEC, EDGAR and EDINET filings inside your own VPC.
- Hold an entire case archive — years of filings and correspondence — in one 10M-token session for matter research.
- Turn an 8-hour promo performance report into a 30-minute agent run for e-commerce and marketplace teams.
- Pull live ERP and MES data into manufacturing dashboards, 8D and CAPA reports without exporting plant data.
- Run clinical drafting and prior-auth prep on-prem or on a managed workstation so patient data never leaves the endpoint.
- Ground grading and accreditation work in your LMS and student records for education teams.
- Automate sales pipeline management including CRM updates, follow-up emails and deal tracking.
- Triage, route and escalate support tickets with context-aware agents.
Models Under the Hood
as of 2026-10-15
Limitations
- Pricing runs on credits: Free at $0/mo grants 500 credits, Lite at $19.99/mo monthly (30% off yearly) gives 2,000, Pro at $49.99/mo monthly (30% off yearly) gives 5,000-6,000, and Ultra at $199.99/mo monthly (30% off yearly) gives 20,000-40,000, with top-ups available without a plan change.
- On-premises, air-gapped and on-device deployment are offered on request rather than self-serve.
- Accuracy and performance figures — 87.7% FinanceBench oracle accuracy, 94.0% RULER at 10M, the 10M-token window — are stated by the vendor on its own pages under a controlled evaluation environment, with Pokee-Isaac 28B labeled v0.1 preview and no independent verification shown.
- Security posture is partial: SOC 2 Type 2 complete, while ISO/IEC 27001 and ISO/IEC 42001 audits are in progress.
as of 2026-10-17
Verification history
We have re-verified Pokee AI 10 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-checked, vendor evidence unchanged
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Showing the 6 most recent of 10 verification passes.
Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published Pokee AI tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Free
$0/mo
Ideal for
An individual kicking the tyres on Pokee's automation before spending anything, with 500 credits a month to test a couple of workflows
What this tier adds
Free entry point: 500 credits per month at $0/mo with self-serve signup
Lite
$19.99/mo
Ideal for
A regular user running two or three recurring workflows who needs more than a trial allowance but is not yet doing complex automation
What this tier adds
Adds 2,000 credits per month over Free, at $19.99/mo monthly with 30% off on yearly billing
Pro
$49.99/mo
Ideal for
A power user whose workflows chain multiple tools and documents and who needs a bigger monthly credit pool
What this tier adds
Raises the allowance to 5,000-6,000 credits per month (the pricing page lists both figures), at $49.99/mo monthly with 30% off yearly
Ultra
$199.99/mo
Ideal for
A small team or heavy individual running large-scale workflow operations that would exhaust Pro credits
What this tier adds
Jumps to 20,000-40,000 credits per month depending on billing term, at $199.99/mo monthly with 30% off yearly
Enterprise
Custom
Ideal for
An organization that needs agents pooled across a team, SSO, dedicated support and a deployment inside its own infrastructure
What this tier adds
Adds pooled shared AI agent capacity for your team, SSO and dedicated support on a tailored quote from sales
Where the pricing makes sense
The company stage and team size where Pokee AI's pricing actually pencils out — and where peers do it cheaper.
The published tiers are individual-to-small-team sized: Free at $0/mo for 500 credits, Lite at $19.99/mo monthly (30% off yearly), Pro at $49.99/mo monthly, Ultra at $199.99/mo monthly. Enterprise is a tailored quote with pooled capacity, SSO and dedicated support. Against Cognigy and Moveworks, which sell enterprise conversation platforms, Pokee's self-serve floor is far lower — but heavy document work will push you toward Ultra or a quote.
Setup time & first value
How long it actually takes to get something useful out of Pokee AI — broken out by persona, not the marketing-page minute.
Self-serve plans start the same day: sign up free, connect tools by OAuth and run a first workflow within an hour. Enterprise deployments follow the vendor's published path — a 30-minute call, a pilot on 2-3 real workflows, then live in your cloud, which Pokee states as under two weeks. On-prem, air-gapped and on-device installs run on request and will take longer given hardware and
Switching to or from Pokee AI
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From a general-purpose chat assistant: export your prompt and template library, then rebuild the highest-volume workflow as a Pokee agent with OAuth-connected tools
- →From a retrieval-pipeline stack: replace chunk-and-embed retrieval with a single 10M-token session over the same document store
- →From a vendor-hosted agent platform: move the same agents into your AWS, Azure or GCP account through a revocable least-privilege role
- ↗To a no-code workflow builder: rebuild agent steps as canvas nodes, accepting shorter context and rebuilding document retrieval
- ↗To Cognigy or Moveworks: port conversational workflows and accept that neither offers air-gapped deployment
- ↗To a general-purpose assistant: export outputs and templates, and rebuild the tool connections manually
Integrations
Resources & Guides
Tutorials & Learning
YouTube returned 6 videos for “Pokee AI”, and we withheld 6: 6 could not be judged, because “Pokee AI” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about Pokee AI.
Official links
Tools that pair well with Pokee AI
Common stack mates teams adopt alongside Pokee AI, with the specific reason each pairing earns its keep.
DataRobot
Enterprise agent workforce platform for building, operating, and governing AI agents across on-prem, hybrid, and multi-cloud environments.
Lyzr
Lyzr's Opencontroller is an AI agent control plane to run, monitor, and govern enterprise agents built on any framework.
Cloneable
Industrial AI agents that capture expert judgment and run it inside the field and back-office tools your teams already use.
Featured Head-to-Head Comparisons
Pokee Ai vs Spider Cloud
Spider Cloud is the clear choice for teams that need high-volume, low-cost web data extraction for AI/LLM pipelines. Pokee AI targets large enterprises that require air-gapped deployment and auditable multi-tool agents—it's overkill and too expensive for most individual or small-team use cases.
Pokee Ai vs Temporal Ai
If you need a durable, open-source workflow engine to orchestrate AI agents with automatic recovery and full visibility, Temporal AI is the clear choice. If you require an enterprise-grade, air-gapped platform with reinforcement-trained agents and 99% tool accuracy for regulated industries, Pokee AI is better suited. Choose based on deployment control vs. orchestration flexibility.
Pokee Ai vs Presto Voice
Choose Presto Voice if you run a QSR chain and need a specialized drive-thru voice AI that boosts revenue through upselling, backed by proven ROI with chains like Dairy Queen. Choose Pokee AI if you're an enterprise with strict data privacy requirements needing autonomous, audit-ready agents that operate securely on your own infrastructure. Each excels in entirely different domains—pick based on your primary use case.
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Frequently Asked Questions
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